Data-driven Shared Steering Control Design for Lane Keeping

Mengzhe Huang, Weinan Gao, Yebin Wang, Zhong-Ping Jiang

Research output: Contribution to journalArticle

Abstract

In this paper, we propose a shared steering control strategy for semi-autonomous vehicles by taking into account the interaction between the driver and his/her vehicle. The copilot controller cooperates with the driver and help maintain the vehicle in the central position of a lane. Taking advantage of the small-gain theory, the design procedure does not rely on the perfect knowledge of the model and states for the driver. An adaptive dynamic programming method is introduced to develop a shared controller in real-time using online measurable input-output data from vehicle sensors. The efficacy of the proposed shared steering controller is demonstrated by computer-based simulations.

Original languageEnglish (US)
Pages (from-to)155-160
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number13
DOIs
StatePublished - Jan 1 2018

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Controllers
Dynamic programming
Sensors

Keywords

  • adaptive dynamic programming (ADP)
  • Cooperative driving
  • human in the loop
  • steering control

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Data-driven Shared Steering Control Design for Lane Keeping . / Huang, Mengzhe; Gao, Weinan; Wang, Yebin; Jiang, Zhong-Ping.

In: IFAC-PapersOnLine, Vol. 51, No. 13, 01.01.2018, p. 155-160.

Research output: Contribution to journalArticle

Huang, Mengzhe ; Gao, Weinan ; Wang, Yebin ; Jiang, Zhong-Ping. / Data-driven Shared Steering Control Design for Lane Keeping In: IFAC-PapersOnLine. 2018 ; Vol. 51, No. 13. pp. 155-160.
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